Unauthorized reproduction or distribution is strictly prohibited
β οΈ DATA CLEARANCE NOTICE β οΈ
Social, Institutional, and Infrastructure Pillars are currently under development and refinement.
Data quality and methodology for these pillars are being improved. Financial pillar data is fully validated.
Please refer to the Methodology section for detailed information on current limitations and ongoing improvements.
π Live Data Layers
π¨ Resilience Score Color Guide
0.66+ Excellent π
0.60-0.66 Good β
0.53-0.60 Moderate β οΈ
0.45-0.53 Low β¬οΈ
<0.45 Critical π¨
No Data
π What the Colors Mean:
Dark Green (Excellent): Countries with robust resilience across all pillars. Examples: Nordic countries, Singapore, Switzerland.
Light Green (Good): Strong performance with minor vulnerabilities. Most developed nations.
Yellow (Moderate): Mixed performance - some strong pillars, others need improvement. Many emerging markets.
Orange (Low): Significant challenges in multiple pillars. High vulnerability to shocks.
Red (Critical): Severe systemic weaknesses. Countries facing crises or conflict.
π Understanding Color Changes:
π’ β π’ Darker Green:POSITIVE Resilience improving due to economic growth, institutional reforms, or infrastructure investments.
π’ β π‘ Green to Yellow:DECLINING Warning sign - may indicate debt increases, social instability, or governance issues.
π‘ β π Yellow to Orange:DETERIORATING Multiple pillars weakening - potential economic crisis or political instability.
π β π΄ Orange to Red:CRITICAL Severe decline - often due to conflict, financial collapse, or natural disasters.
π‘ β π’ Yellow to Green:IMPROVING Recovery and reform success - reduced debt, better governance, or economic rebound.
π‘ Tip: Click any country to see detailed breakdown. Change years (2019-2030) to observe how colors evolve over time. Each pillar (Financial, Social, Institutional, Infrastructure) contributes 25% to the overall color.
π Data Sources & Methodology
π‘ Live Data Feed
π° Global News (GDELT)
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π¦ World Bank Indicators
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π° IMF Economic Data
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π FRED Economic Indicators
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π OECD Statistics
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π¬ Reddit Discussions
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πΉ YouTube Trends
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π± Financial Markets
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π Google Trends
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π°
Financial Resilience
Fiscal sustainability and economic stability
Global Average
0.000
Highest Score
0.000
Country
Lowest Score
0.000
Std Deviation
0.000
π 4 Key Factors Breakdown
π Top 20 Countries
π Regional Comparison
π Evolution Over Time (2019-2030)
Country Name
π Regionπ° Income Level
Overall Score
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π° Financial
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π₯ Social
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ποΈ Institutional
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ποΈ Infrastructure
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Global Rank
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π Performance Timeline (2019-2030)
2019-2025
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2025-2030
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Total Change
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Global Resilience Analytics
π Global Trends (2019-2030)
π Top 20 Most Resilient Countries (2025)
β οΈ Bottom 20 Countries (2025)
π Resilience Pillars Comparison (2025)
π Regional Analysis (2025)
π Score Distribution (2025)
π Top 15 Improvers (2019-2025)
π Top 15 Decliners (2019-2025)
Methodology & Data Sources
Note: This dashboard presents a comprehensive analysis of national resilience across 253 countries worldwide, spanning from 2019 to 2030 (with forecasts from 2025-2030).
β οΈ CURRENT DEVELOPMENT STATUS & DATA CLEARANCE
Data Quality Status by Pillar (as of January 2026):
β Financial Resilience:FULLY VALIDATED - Complete data from World Bank, IMF, and central banks with rigorous validation
π Social Resilience:IN DEVELOPMENT - Gini coefficient weighting methodology under review; data gaps being addressed for 47 countries. UPDATED: Now includes Communal Violence Index (CVI) capturing ethnic, religious, and sectarian conflict data from ACLED/UCDP (2020-2025 showing 47% increase in incidents globally)
π Institutional Resilience:IN DEVELOPMENT - WGI data integration incomplete; corruption indices need validation
π Infrastructure Resilience:IN DEVELOPMENT - Digital connectivity and transport data being refined; 32% of countries have provisional estimates
Methodology Adjustments in Progress:
Social Pillar Recalibration: Exploring alternative weighting schemes where Gini coefficient may be reduced from 40% to 30%, with increased emphasis on education and healthcare metrics. NEW: Adding Communal Violence Index - Integrating data from ACLED (Armed Conflict Location & Event Data Project) and UCDP (Uppsala Conflict Data Program) to capture rising communal tensions observed 2020-2025. This addresses the significant increase in ethnic, religious, and sectarian violence globally.
Institutional Data Enhancement: Integrating additional governance indices from V-Dem Institute and Freedom House to improve reliability and reduce dependency on single sources.
Infrastructure Modernization: Incorporating real-time digital infrastructure metrics and climate resilience factors into the scoring methodology.
β οΈ User Advisory: Until the methodology refinement is complete, users are advised to:
β’ Prioritize Financial Resilience scores for decision-making
β’ Treat Social, Institutional, and Infrastructure scores as indicative trends rather than definitive metrics
β’ Expected completion of full validation: Q3 2026
β’ Refer to version history and changelog for updates
π Country Performance Across Key Indices
Select a country to see how it performs across different methodological indices including Gini coefficient, HDI, GDP per capita, and other key indicators.
About the Indices:
Gini Index: Income inequality (0=perfect equality, 100=perfect inequality)
HDI: Human Development Index (0-1, combining health, education, income)
GDP per capita: Economic output per person (normalized)
Government Effectiveness: Quality of public services and policy implementation
Infrastructure Quality: Physical infrastructure development level
1. Data Collection & Sources
The resilience scores are derived from multiple authoritative international data sources:
World Bank Open Data: GDP, Debt, Trade, Infrastructure indicators
International Monetary Fund (IMF): Financial stability metrics
United Nations Development Programme (UNDP): Human Development Index components
World Health Organization (WHO): Health system indicators
World Economic Forum: Competitiveness and infrastructure data
π Live Indices & Indicators Mapped
The following key indices are actively monitored and integrated into the resilience scores:
Economic Indices:
GDP Growth Rate (World Bank)
Debt-to-GDP Ratio (IMF)
Foreign Direct Investment (UNCTAD)
Trade Balance (WTO)
Social Indices:
Gini Coefficient (World Bank)
Human Development Index (UNDP)
Life Expectancy (WHO)
Literacy Rate (UNESCO)
NEW Communal Violence Index (ACLED/UCDP)
Governance Indices:
Government Effectiveness (WGI)
Rule of Law Index (WGI)
Corruption Perception Index (TI)
Political Stability Index (WGI)
Infrastructure Indices:
Infrastructure Quality (WEF)
Internet Penetration (ITU)
Energy Access (IEA)
Transport Connectivity (WB)
Data Update Frequency: Indicators are updated annually from official sources. All times displayed in DST (Daylight Saving Time). Latest data reflects 2025 values with forecasts through 2030.
2. Resilience Framework
National resilience is measured through four interconnected pillars, each contributing 25% to the overall score:
Economic diversification (Trade data from WTO, validated)
β Data Quality: Financial pillar data has undergone rigorous validation with 100% country coverage from authoritative sources (IMF, World Bank, BIS, central banks). This pillar meets the highest standards for accuracy and reliability.
π₯ Social Resilience (25%) π IN DEVELOPMENT
Income Equality - Gini Index (35% weight) β PRIMARY INDICATOR (reduced from 40%)
Life Expectancy (20% weight)
Education Access and Quality (20% weight)
Healthcare System Capacity (15% weight)
Communal Violence Index (10% weight) π NEW ADDITION
β οΈ Key Methodology (Under Review): The Gini Index (income inequality) has been adjusted from 40% to 35% weight in Social Resilience to accommodate the new Communal Violence Index (10%). Lower Gini values (less inequality) = higher resilience. However, the complete weighting scheme remains under review. Data quality issues exist for 47 countries with Gini estimates based on proxy indicators.
π NEW: Communal Violence Index (CVI) Integration
Rationale for Addition: Between 2020-2025, global communal violence incidents have increased by 47% according to ACLED data. Ethnic, religious, and sectarian conflicts have emerged as critical threats to social cohesion, warranting explicit measurement in resilience frameworks.
Data Sources:
ACLED (Armed Conflict Location & Event Data Project): Real-time conflict and protest event data across 200+ countries
UCDP (Uppsala Conflict Data Program): Systematic tracking of organized violence and battle-related deaths
Global Terrorism Database (GTD): Supplementary data on terrorism and communal attacks
Measurement Methodology:
Violence Frequency: Number of communal violence events per 100,000 population
Fatality Rate: Deaths from ethnic/religious violence relative to population
Displacement Impact: Internally displaced persons (IDPs) due to communal conflict
Trend Analysis: Year-over-year change in violence indicators (2019-2025)
Countries Most Affected (2020-2025 Data):
High Impact: Myanmar, Ethiopia, Nigeria, India (specific regions), Pakistan, Afghanistan, Sudan, Mali
Moderate Impact: DRC, CAR, Burkina Faso, Somalia, Mozambique, Cameroon, Kenya
Emerging Concerns: Bangladesh, Sri Lanka, Indonesia (localized), Iraq, Lebanon, Brazil (specific states)
Scoring Logic: Lower violence = higher score. Countries with zero or minimal communal violence events receive full points (1.0). Score decreases logarithmically with violence frequency and severity. Countries experiencing active large-scale communal conflicts receive scores below 0.3.
Impact on Social Resilience: The addition of CVI has resulted in score reductions of 5-15 points for affected countries. For example, countries previously rated "Good" (0.60-0.66) with high communal violence may now fall to "Moderate" (0.53-0.60), accurately reflecting social fragility risks.
ποΈ Institutional Resilience (25%) π IN DEVELOPMENT
Government effectiveness (WGI data validation in progress)
Rule of law and regulatory quality (cross-checking with V-Dem indices)
Control of corruption (integrating Transparency International updates)
Political stability (incorporating conflict data from UCDP)
β οΈ Data Limitations: Institutional data relies heavily on Worldwide Governance Indicators (WGI) which have known biases and limited coverage for small states. Integration of supplementary sources (V-Dem, Freedom House) is ongoing to improve reliability.
ποΈ Infrastructure Resilience (25%) π IN DEVELOPMENT
Physical infrastructure quality (WEF data gaps for 58 countries)
Digital connectivity (ITU data complete, validation ongoing)
Energy security (IEA coverage incomplete for developing nations)
Transportation networks (proxy indicators used for 32% of countries)
β οΈ Data Limitations: Infrastructure scores for many developing countries rely on proxy indicators and estimates. Direct measurement data is being collected through partnerships with regional development banks and national statistical offices.
3. Score Calculation
Each indicator is normalized to a 0-1 scale using min-max normalization:
Score = (Value - Min) / (Max - Min)
Pillar scores are calculated as the average of their component indicators. The overall resilience score is the arithmetic mean of all four pillars.
4. Forecasting Methodology (2025-2030)
Future projections employ two sophisticated statistical models:
Bayesian Structural Time Series (BSTS): Captures trend, seasonality, and structural changes
Dynamic Factor Model (DFM): Accounts for common factors and cross-country correlations
Forecasts incorporate:
Historical trends (2019-2024)
Cyclical patterns
Structural breaks (e.g., COVID-19 impact)
Regional spillovers
5. Classification Thresholds
Score Range
Classification
Interpretation
0.66 - 1.00
β Excellent
Highly resilient, strong capacity to absorb shocks
0.60 - 0.66
β Good
Above-average resilience, capable of managing disruptions
0.53 - 0.60
β Moderate
Moderate resilience, vulnerable to significant shocks